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Freshdesk MCP by usefulapi

Search contacts

freshdesk_search_contacts
Read-only

Search contacts with the Freshdesk query DSL. The query VALUE is wrapped in double quotes automatically. Examples: name:'ada', email:'ada@example.com', company_id:123. Freshdesk REST: GET /search/contacts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (1-10; search endpoints return 30 results per page and ignore per_page).
queryYesFreshdesk search query, e.g. "company_id:123" (do NOT add surrounding quotes yourself — they are added for you).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.7/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

readOnlyHint=true already establishes the safety profile, and the description adds a genuinely non-obvious behavioral trait: the query VALUE is auto-wrapped in double quotes, so the agent must not quote it itself. It also names the underlying REST call. It stops short of noting rate limits or result-set behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, front-loaded with what the tool does and immediately followed by the auto-quoting constraint and examples. Little waste; the trailing REST endpoint reference is mildly redundant but cheap.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only, two-param search with no output schema, the description covers mechanism, formatting caveat, and examples. Only the missing routing against freshdesk_list_contacts keeps it from being fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so both `query` and `page` are already documented in the schema, including the same no-manual-quoting rule. The description's examples add minor value but largely duplicate the schema's own description, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Search) and resource (contacts) plus the mechanism (Freshdesk query DSL), which is far more than a restated title. It does not, however, name the nearest sibling freshdesk_list_contacts or explain how searching differs from listing, so an agent must infer the distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The examples (`name:'ada'`, `email:'...'`, `company_id:123`) show intended usage patterns and imply this is a filtered lookup, but there is no explicit when-to-use guidance, no statement of when to prefer list_contacts, and no prerequisites or limits called out.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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